Task
Supervised Classification on fruitfly

Supervised Classification on fruitfly

Task 4285 Supervised Classification fruitfly 204 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

204 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4975, kappa: -0.0642, kb_relative_information_score: -66.1641, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4923, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1602, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3807, f_measure: 0.4587, kappa: -0.0401, kb_relative_information_score: -41.4846, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4328, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0476, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4975, kappa: -0.0642, kb_relative_information_score: -66.1641, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4923, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1602, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4628, f_measure: 0.5221, kappa: -0.0118, kb_relative_information_score: -57.2093, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5176, predictive_accuracy: 0.5296, prior_entropy: 0.9671, recall: 0.5296, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5735, root_relative_squared_error: 1.1748, scimark_benchmark: 1326.8946, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5438, kappa: 0.0426, kb_relative_information_score: 10.1879, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5488, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0182, scimark_benchmark: 1371.9645, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3807, f_measure: 0.4587, kappa: -0.0401, kb_relative_information_score: -41.4846, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4328, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0476, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4975, kappa: -0.0642, kb_relative_information_score: -66.1641, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4923, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1602, scimark_benchmark: 1312.2688, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3813, f_measure: 0.4551, kappa: -0.0245, kb_relative_information_score: -52.0012, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3885, predictive_accuracy: 0.5952, prior_entropy: 0.9671, recall: 0.5952, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0343, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.471, kappa: -0.1183, kb_relative_information_score: -67.6072, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4585, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0587, scimark_benchmark: 1337.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3813, f_measure: 0.4551, kappa: -0.0245, kb_relative_information_score: -52.0012, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3885, predictive_accuracy: 0.5952, prior_entropy: 0.9671, recall: 0.5952, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0343, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.471, kappa: -0.1183, kb_relative_information_score: -67.6072, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4585, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0587, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4339, f_measure: 0.4605, kappa: -0.0606, kb_relative_information_score: -44.6016, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4401, predictive_accuracy: 0.5696, prior_entropy: 0.9671, recall: 0.5696, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0741, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3807, f_measure: 0.4587, kappa: -0.0401, kb_relative_information_score: -41.4846, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4328, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0476, scimark_benchmark: 1339.9935, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4156, f_measure: 0.4741, kappa: -0.1147, kb_relative_information_score: -89.0617, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.463, predictive_accuracy: 0.5016, prior_entropy: 0.9671, recall: 0.5016, relative_absolute_error: 1.0484, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.1172, scimark_benchmark: 892.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3813, f_measure: 0.4551, kappa: -0.0245, kb_relative_information_score: -52.0012, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3885, predictive_accuracy: 0.5952, prior_entropy: 0.9671, recall: 0.5952, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0343, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4372, f_measure: 0.4939, kappa: -0.01, kb_relative_information_score: -26.5616, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5125, predictive_accuracy: 0.5856, prior_entropy: 0.9671, recall: 0.5856, relative_absolute_error: 1.0148, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0322, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4253, f_measure: 0.4578, kappa: -0.0135, kb_relative_information_score: -12.6241, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4037, predictive_accuracy: 0.6008, prior_entropy: 0.9671, recall: 0.6008, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4922, root_relative_squared_error: 1.0082, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4204, f_measure: 0.4807, kappa: -0.1024, kb_relative_information_score: -97.9439, mean_absolute_error: 0.5029, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4724, predictive_accuracy: 0.4968, prior_entropy: 0.9671, recall: 0.4968, relative_absolute_error: 1.0541, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1407, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4523, f_measure: 0.4774, kappa: -0.0938, kb_relative_information_score: -38.5305, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4656, predictive_accuracy: 0.5272, prior_entropy: 0.9671, recall: 0.5272, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0463, scimark_benchmark: 892.0148, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.4888, kappa: -0.0386, kb_relative_information_score: 59.3576, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4902, predictive_accuracy: 0.5672, prior_entropy: 0.9671, recall: 0.5672, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.2911, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4347, f_measure: 0.4582, kappa: -0.0119, kb_relative_information_score: -12.2198, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4074, predictive_accuracy: 0.6016, prior_entropy: 0.9671, recall: 0.6016, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4922, root_relative_squared_error: 1.0081, scimark_benchmark: 939.5088, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4305, f_measure: 0.4928, kappa: -0.0754, kb_relative_information_score: -93.9813, mean_absolute_error: 0.5024, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4866, predictive_accuracy: 0.5032, prior_entropy: 0.9671, recall: 0.5032, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5671, root_relative_squared_error: 1.1617, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.471, kappa: -0.1183, kb_relative_information_score: -67.6072, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4585, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0587, scimark_benchmark: 1292.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4108, f_measure: 0.4791, kappa: -0.0958, kb_relative_information_score: -80.9, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4676, predictive_accuracy: 0.5216, prior_entropy: 0.9671, recall: 0.5216, relative_absolute_error: 1.0443, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5355, root_relative_squared_error: 1.0969, scimark_benchmark: 1311.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.471, kappa: -0.1183, kb_relative_information_score: -67.6072, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4585, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0587, scimark_benchmark: 1334.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4228, f_measure: 0.4725, kappa: -0.0076, kb_relative_information_score: -13.0639, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5028, predictive_accuracy: 0.5984, prior_entropy: 0.9671, recall: 0.5984, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0093, scimark_benchmark: 896.937, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -1.0645, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 898.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.4917, kappa: 0.0443, kb_relative_information_score: -97.1594, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.7671, predictive_accuracy: 0.6224, prior_entropy: 0.9671, recall: 0.6224, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0247, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.4598, kb_relative_information_score: -1.427, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.0003, scimark_benchmark: 996.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4406, f_measure: 0.4832, kappa: -0.0623, kb_relative_information_score: -24.7027, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4766, predictive_accuracy: 0.552, prior_entropy: 0.9671, recall: 0.552, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0301, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5204, kappa: -0.0067, kb_relative_information_score: 79.7285, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5193, predictive_accuracy: 0.5624, prior_entropy: 0.9671, recall: 0.5624, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.355, scimark_benchmark: 1328.8457, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 1317.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 1329.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3983, f_measure: 0.4772, kappa: -0.0658, kb_relative_information_score: -66.5904, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4692, predictive_accuracy: 0.5544, prior_entropy: 0.9671, recall: 0.5544, relative_absolute_error: 1.0341, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0498, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4138, f_measure: 0.4833, kappa: -0.0528, kb_relative_information_score: -59.8997, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4796, predictive_accuracy: 0.56, prior_entropy: 0.9671, recall: 0.56, relative_absolute_error: 1.0301, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.0472, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.4553, kappa: -0.0283, kb_relative_information_score: 160.9319, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4003, predictive_accuracy: 0.5928, prior_entropy: 0.9671, recall: 0.5928, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6381, root_relative_squared_error: 1.3071, scimark_benchmark: 1301.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4539, f_measure: 0.4945, kappa: -0.02, kb_relative_information_score: -30.5212, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5047, predictive_accuracy: 0.5776, prior_entropy: 0.9671, recall: 0.5776, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0256, scimark_benchmark: 1334.8495, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.572, kappa: 0.0999, kb_relative_information_score: 28.8701, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5816, predictive_accuracy: 0.6072, prior_entropy: 0.9671, recall: 0.6072, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0122, scimark_benchmark: 1276.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.572, kappa: 0.0999, kb_relative_information_score: 28.6717, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5816, predictive_accuracy: 0.6072, prior_entropy: 0.9671, recall: 0.6072, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0122, scimark_benchmark: 1344.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.5445, kappa: 0.0462, kb_relative_information_score: 12.9333, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5516, predictive_accuracy: 0.5872, prior_entropy: 0.9671, recall: 0.5872, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0256, scimark_benchmark: 1300.0105, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4559, f_measure: 0.4882, kappa: -0.0816, kb_relative_information_score: -73.0672, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4842, predictive_accuracy: 0.4936, prior_entropy: 0.9671, recall: 0.4936, relative_absolute_error: 1.0343, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.1516, scimark_benchmark: 923.6051, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4561, f_measure: 0.4727, kappa: -0.1064, kb_relative_information_score: -177.1175, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4726, predictive_accuracy: 0.4728, prior_entropy: 0.9671, recall: 0.4728, relative_absolute_error: 1.118, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7196, root_relative_squared_error: 1.474, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4387, f_measure: 0.4633, kappa: -0.1218, kb_relative_information_score: -189.5251, mean_absolute_error: 0.5384, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4652, predictive_accuracy: 0.4616, prior_entropy: 0.9671, recall: 0.4616, relative_absolute_error: 1.1286, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7338, root_relative_squared_error: 1.503, scimark_benchmark: 1348.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.5001, kappa: -0.0596, kb_relative_information_score: -16.4335, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4919, predictive_accuracy: 0.5264, prior_entropy: 0.9671, recall: 0.5264, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.4096, scimark_benchmark: 1342.5243, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.4905, kappa: 0.0253, kb_relative_information_score: 13.6077, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5884, predictive_accuracy: 0.6112, prior_entropy: 0.9671, recall: 0.6112, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0096, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.5677, kappa: 0.0896, kb_relative_information_score: 101.6552, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5748, predictive_accuracy: 0.6016, prior_entropy: 0.9671, recall: 0.6016, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.1237, scimark_benchmark: 1321.7236, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.452, f_measure: 0.502, kappa: -0.0067, kb_relative_information_score: -18.9806, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5172, predictive_accuracy: 0.5824, prior_entropy: 0.9671, recall: 0.5824, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0464, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4108, f_measure: 0.4629, kappa: -0.1306, kb_relative_information_score: -98.6482, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4479, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0537, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1495, scimark_benchmark: 1325.5087, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4319, f_measure: 0.4563, kappa: -0.0198, kb_relative_information_score: -11.9237, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3934, predictive_accuracy: 0.5976, prior_entropy: 0.9671, recall: 0.5976, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0078, scimark_benchmark: 1263.2205, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.4655, kappa: -0.0059, kb_relative_information_score: -11.7718, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4927, predictive_accuracy: 0.6024, prior_entropy: 0.9671, recall: 0.6024, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0085, scimark_benchmark: 1332.6319, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4482, f_measure: 0.4741, kappa: -0.0987, kb_relative_information_score: -41.0179, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4614, predictive_accuracy: 0.5264, prior_entropy: 0.9671, recall: 0.5264, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0462, scimark_benchmark: 1340.1351, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5139, kappa: -0.0051, kb_relative_information_score: -61.3091, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5209, predictive_accuracy: 0.5096, prior_entropy: 0.9671, recall: 0.5096, relative_absolute_error: 1.028, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7003, root_relative_squared_error: 1.4344, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3939, f_measure: 0.4742, kappa: -0.0879, kb_relative_information_score: -113.6829, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.481, predictive_accuracy: 0.4696, prior_entropy: 0.9671, recall: 0.4696, relative_absolute_error: 1.0597, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0407, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.4587, kappa: -0.0048, kb_relative_information_score: -4.4208, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3691, predictive_accuracy: 0.6056, prior_entropy: 0.9671, recall: 0.6056, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0022, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.471, kappa: -0.1183, kb_relative_information_score: -67.6072, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4585, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0587, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4526, f_measure: 0.4891, kappa: -0.0687, kb_relative_information_score: -38.1864, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4808, predictive_accuracy: 0.5384, prior_entropy: 0.9671, recall: 0.5384, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0477, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4546, f_measure: 0.5046, kappa: -0.0398, kb_relative_information_score: -39.4043, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4996, predictive_accuracy: 0.548, prior_entropy: 0.9671, recall: 0.548, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0527, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4502, f_measure: 0.4924, kappa: -0.0673, kb_relative_information_score: -40.197, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.484, predictive_accuracy: 0.5344, prior_entropy: 0.9671, recall: 0.5344, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.06, scimark_benchmark: 940.0008, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4154, f_measure: 0.4824, kappa: -0.0863, kb_relative_information_score: -68.8664, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4718, predictive_accuracy: 0.528, prior_entropy: 0.9671, recall: 0.528, relative_absolute_error: 1.0372, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.0933, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4132, f_measure: 0.4899, kappa: -0.0604, kb_relative_information_score: -62.9755, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4833, predictive_accuracy: 0.5464, prior_entropy: 0.9671, recall: 0.5464, relative_absolute_error: 1.0359, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.0788, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4202, f_measure: 0.4881, kappa: -0.0497, kb_relative_information_score: -56.3428, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4851, predictive_accuracy: 0.5584, prior_entropy: 0.9671, recall: 0.5584, relative_absolute_error: 1.0319, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0663, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4116, f_measure: 0.4844, kappa: -0.0429, kb_relative_information_score: -51.5238, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4844, predictive_accuracy: 0.5672, prior_entropy: 0.9671, recall: 0.5672, relative_absolute_error: 1.0294, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0592, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4112, f_measure: 0.4854, kappa: -0.0399, kb_relative_information_score: -50.7441, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4867, predictive_accuracy: 0.5688, prior_entropy: 0.9671, recall: 0.5688, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.0536, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.4715, kappa: -0.1207, kb_relative_information_score: -77.8612, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4643, predictive_accuracy: 0.4832, prior_entropy: 0.9671, recall: 0.4832, relative_absolute_error: 1.0375, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1168, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4507, f_measure: 0.5078, kappa: -0.0445, kb_relative_information_score: -63.0812, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5013, predictive_accuracy: 0.5216, prior_entropy: 0.9671, recall: 0.5216, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.1813, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.5384, kappa: 0.0447, kb_relative_information_score: 4.9358, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5449, predictive_accuracy: 0.5344, prior_entropy: 0.9671, recall: 0.5344, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6823, root_relative_squared_error: 1.3977, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 201.5336, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 1034.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4598, kb_relative_information_score: 201.5336, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2825, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.503, kappa: -0.0137, kb_relative_information_score: -30.4569, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5121, predictive_accuracy: 0.576, prior_entropy: 0.9671, recall: 0.576, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0281, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5139, kappa: -0.0051, kb_relative_information_score: -61.3091, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5209, predictive_accuracy: 0.5096, prior_entropy: 0.9671, recall: 0.5096, relative_absolute_error: 1.028, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7003, root_relative_squared_error: 1.4344, scimark_benchmark: 923.988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5438, kappa: 0.0426, kb_relative_information_score: 10.1879, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5488, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0182, scimark_benchmark: 883.2709, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3639, f_measure: 0.4571, kappa: -0.0112, kb_relative_information_score: -49.4239, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3683, predictive_accuracy: 0.6024, prior_entropy: 0.9671, recall: 0.6024, relative_absolute_error: 1.026, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0317, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4975, kappa: -0.0642, kb_relative_information_score: -66.1641, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4923, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1602, scimark_benchmark: 1072.3689, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4627, f_measure: 0.4894, kappa: -0.0744, kb_relative_information_score: -118.3906, mean_absolute_error: 0.5115, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4878, predictive_accuracy: 0.4912, prior_entropy: 0.9671, recall: 0.4912, relative_absolute_error: 1.0723, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.4513, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4616, f_measure: 0.4693, kappa: -0.0299, kb_relative_information_score: -15.1045, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4704, predictive_accuracy: 0.5856, prior_entropy: 0.9671, recall: 0.5856, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0271, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4616, f_measure: 0.4592, kappa: -0.0218, kb_relative_information_score: -12.4954, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4323, predictive_accuracy: 0.5952, prior_entropy: 0.9671, recall: 0.5952, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0116, scimark_benchmark: 1321.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4666, f_measure: 0.4936, kappa: -0.0677, kb_relative_information_score: -95.5, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.491, predictive_accuracy: 0.4968, prior_entropy: 0.9671, recall: 0.4968, relative_absolute_error: 1.0548, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.453, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, f_measure: 0.5154, kappa: -0.0263, kb_relative_information_score: -24.9813, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5106, predictive_accuracy: 0.5232, prior_entropy: 0.9671, recall: 0.5232, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6905, root_relative_squared_error: 1.4144, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4452, f_measure: 0.5048, kappa: -0.025, kb_relative_information_score: -13.2338, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.506, predictive_accuracy: 0.564, prior_entropy: 0.9671, recall: 0.564, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0786, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.563, kappa: 0.0757, kb_relative_information_score: 154.5211, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5645, predictive_accuracy: 0.5904, prior_entropy: 0.9671, recall: 0.5904, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.64, root_relative_squared_error: 1.3109, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.5062, kappa: -0.0076, kb_relative_information_score: 122.4671, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5172, predictive_accuracy: 0.5784, prior_entropy: 0.9671, recall: 0.5784, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.33, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -1.0645, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.452, f_measure: 0.502, kappa: -0.0067, kb_relative_information_score: -18.9806, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5172, predictive_accuracy: 0.5824, prior_entropy: 0.9671, recall: 0.5824, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0464, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4833, build_cpu_time: 0.2296, build_memory: 997389187.616, f_measure: 0.5176, kappa: -0.0204, kb_relative_information_score: -15.5237, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5135, predictive_accuracy: 0.524, prior_entropy: 0.9671, recall: 0.524, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6781, root_relative_squared_error: 1.389, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, build_cpu_time: 0.1224, build_memory: 1157918072.4032, f_measure: 0.5084, kappa: -0.0421, kb_relative_information_score: -31.5904, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5028, predictive_accuracy: 0.5184, prior_entropy: 0.9671, recall: 0.5184, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6786, root_relative_squared_error: 1.39, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4664, build_cpu_time: 0.0678, build_memory: 1585741358.7456, f_measure: 0.4997, kappa: -0.0612, kb_relative_information_score: -57.5649, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4934, predictive_accuracy: 0.5112, prior_entropy: 0.9671, recall: 0.5112, relative_absolute_error: 1.0252, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6791, root_relative_squared_error: 1.391, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, build_cpu_time: 0.0279, build_memory: 317127718.176, f_measure: 0.4841, kappa: -0.0951, kb_relative_information_score: -80.3394, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4762, predictive_accuracy: 0.4992, prior_entropy: 0.9671, recall: 0.4992, relative_absolute_error: 1.0426, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3852, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4337, build_cpu_time: 0.0141, build_memory: 506191886.7584, f_measure: 0.4823, kappa: -0.0991, kb_relative_information_score: -88.0511, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4735, predictive_accuracy: 0.5008, prior_entropy: 0.9671, recall: 0.5008, relative_absolute_error: 1.0487, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6674, root_relative_squared_error: 1.3671, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, build_cpu_time: 0.2902, build_memory: 147447054.1504, f_measure: 0.4912, kappa: -0.0581, kb_relative_information_score: -29.6693, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.485, predictive_accuracy: 0.5472, prior_entropy: 0.9671, recall: 0.5472, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0385, scimark_benchmark: 945.1125,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs